mirror of
https://github.com/xtekky/gpt4free.git
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Add Aichatos and Blackbox Provider (#1822)
Providers added: - Feedough - Added a new provider with GPT-3 model - Cnote - Added a new provider with GPT-3.5 model
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57
g4f/Provider/Aichatos.py
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57
g4f/Provider/Aichatos.py
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from __future__ import annotations
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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from .helper import format_prompt
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import random
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class Aichatos(AsyncGeneratorProvider):
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url = "https://chat10.aichatos.xyz"
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api = "https://api.binjie.fun"
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working = True
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supports_gpt_35_turbo = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
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"Accept": "application/json, text/plain, */*",
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"Accept-Language": "en-US,en;q=0.5",
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"Accept-Encoding": "gzip, deflate, br",
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"Content-Type": "application/json",
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"Origin": "https://chat10.aichatos.xyz",
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"DNT": "1",
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"Sec-GPC": "1",
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"Connection": "keep-alive",
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "cross-site",
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"TE": "trailers",
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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userId = random.randint(1000000000000, 9999999999999)
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system_message: str = "",
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data = {
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"prompt": prompt,
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"userId": "#/chat/{userId}",
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"network": True,
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"system": system_message,
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"withoutContext": False,
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"stream": True,
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}
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async with session.post(f"{cls.api}/api/generateStream", json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for chunk in response.content:
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if chunk:
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yield chunk.decode()
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56
g4f/Provider/Blackbox.py
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56
g4f/Provider/Blackbox.py
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@ -0,0 +1,56 @@
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from __future__ import annotations
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import uuid
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import secrets
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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class Blackbox(AsyncGeneratorProvider):
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url = "https://www.blackbox.ai"
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working = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.5",
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"Accept-Encoding": "gzip, deflate, br",
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"Referer": cls.url,
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"Content-Type": "application/json",
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"Origin": cls.url,
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"DNT": "1",
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"Sec-GPC": "1",
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"Alt-Used": "www.blackbox.ai",
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"Connection": "keep-alive",
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}
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async with ClientSession(headers=headers) as session:
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random_id = secrets.token_hex(16)
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random_user_id = str(uuid.uuid4())
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data = {
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"messages": messages,
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"id": random_id,
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"userId": random_user_id,
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"codeModelMode": True,
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"agentMode": {},
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"trendingAgentMode": {},
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"isMicMode": False,
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"isChromeExt": False,
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"playgroundMode": False,
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"webSearchMode": False,
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"userSystemPrompt": "",
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"githubToken": None
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}
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async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for chunk in response.content:
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if chunk:
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yield chunk.decode()
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58
g4f/Provider/Cnote.py
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58
g4f/Provider/Cnote.py
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from __future__ import annotations
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import json
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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from .helper import format_prompt
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class Cnote(AsyncGeneratorProvider):
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url = "https://f1.cnote.top"
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api_url = "https://p1api.xjai.pro/freeapi/chat-process"
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working = True
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supports_gpt_35_turbo = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
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"Accept": "application/json, text/plain, */*",
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"Accept-Language": "en-US,en;q=0.5",
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"Accept-Encoding": "gzip, deflate, br",
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"Content-Type": "application/json",
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"Origin": cls.url,
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"DNT": "1",
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"Sec-GPC": "1",
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"Connection": "keep-alive",
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "cross-site",
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"TE": "trailers",
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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system_message: str = "",
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data = {
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"prompt": prompt,
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"systemMessage": system_message,
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"temperature": 0.8,
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"top_p": 1,
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}
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async with session.post(cls.api_url, json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for chunk in response.content:
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if chunk:
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try:
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data = json.loads(chunk.decode().split("&KFw6loC9Qvy&")[-1])
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text = data.get("text", "")
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yield text
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except (json.JSONDecodeError, IndexError):
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pass
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52
g4f/Provider/Feedough.py
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52
g4f/Provider/Feedough.py
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@ -0,0 +1,52 @@
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from __future__ import annotations
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import json
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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from .helper import format_prompt
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class Feedough(AsyncGeneratorProvider):
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url = "https://www.feedough.com"
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working = True
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supports_gpt_35_turbo = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.5",
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"Accept-Encoding": "gzip, deflate, br",
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"Referer": "https://www.feedough.com/ai-prompt-generator/",
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"Content-Type": "application/x-www-form-urlencoded;charset=UTF-8",
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"Origin": "https://www.feedough.com",
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"DNT": "1",
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"Sec-GPC": "1",
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"Connection": "keep-alive",
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "same-origin",
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"TE": "trailers",
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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data = {
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"action": "aixg_generate",
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"prompt": prompt,
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}
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async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, proxy=proxy) as response:
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response.raise_for_status()
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response_text = await response.text()
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response_json = json.loads(response_text)
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if response_json["success"]:
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message = response_json["data"]["message"]
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yield message
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@ -142,7 +142,7 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
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"model": models[cls.get_model(model)],
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"messages": messages,
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"key": "",
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"prompt": kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully."),
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"prompt": kwargs.get("system_message", "You are a helpful assistant."),
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}
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async with session.post(
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"https://liaobots.work/api/chat",
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from .needs_auth import *
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from .unfinished import *
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from .Aichatos import Aichatos
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from .Aura import Aura
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from .Bing import Bing
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from .BingCreateImages import BingCreateImages
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from .Blackbox import Blackbox
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from .ChatForAi import ChatForAi
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from .Chatgpt4Online import Chatgpt4Online
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from .ChatgptAi import ChatgptAi
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from .ChatgptFree import ChatgptFree
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from .ChatgptNext import ChatgptNext
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from .ChatgptX import ChatgptX
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from .Cnote import Cnote
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from .DeepInfra import DeepInfra
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from .DeepInfraImage import DeepInfraImage
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from .DuckDuckGo import DuckDuckGo
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from .Feedough import Feedough
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from .FlowGpt import FlowGpt
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from .FreeChatgpt import FreeChatgpt
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from .FreeGpt import FreeGpt
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